聚类分析简介，是个课件，希望对大家有帮助。

本人做的遗传算法源代码，在FORTRAN下打开即可以，可在WINDOUS环境下运行-I do genetic algorithm source code, under the FORTRAN that can be opened, in WINDOUS operating environment

遗传算法优化神经网络结构源程序-Genetic algorithm neural network structure source

随机神经网络工具箱-random neural network toolbox

本程序是具有进化能力的人工生命floy，你会看到越来越具有智能的floy会自发的产生。 -this evolutionary process is the ability of artificial life floy, you will see more intelligent the floy will spontaneously emerge.

支持向量机的matlab代码.很有参考价值的源代码-Support vector machine matlab code. A good reference source code

KNN和BP的算法实现。输入一系列的样本值，进行训练和分类。源码是实现了两个分类器，已经调试通过-KNN and BP algorithm. Enter a series of sample values, for training and classification. Source is to achieve the two classifiers have been debugging through

使用最小二乘支持向量机对多维pyrim数据进行回归，需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.

遗传算法的C语言计算，同时以文本的方式输出和图形的方式输出。-genetic algorithm in C language, while the text and graphic output of the output.

一个比较简单的遗传算法程序，有注释，适合初学者一般学习

统计学习理论是建立在一套较坚实的理论基础之上的，为解决有限样本学习问题提供了 一个统一的框架。它能将很多现有方法纳入其中，有望帮助解决许多原来难以解决的问题（比 如神经网络结构及参数选择问题）；同时。在这一理论基础上发展了一种新的通用学习方法： 支持向量机（Support Vector Machine，SVM）。它己表现出很多优秀的性能，并已经成为当 今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.